Tapani Raiko
Orcid: 0000-0002-0321-304X
According to our database1,
Tapani Raiko
authored at least 57 papers
between 2002 and 2016.
Collaborative distances:
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Bibliography
2016
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation.
Proceedings of the Computer Vision - ACCV 2016, 2016
2015
Neural Networks, 2015
Measuring the usefulness of hidden units in Boltzmann machines with mutual information.
Neural Networks, 2015
CoRR, 2015
Denoising autoencoder with modulated lateral connections learns invariant representations of natural images.
Proceedings of the 3rd International Conference on Learning Representations, 2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series.
CoRR, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2014
Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence.
Proceedings of the 2nd International Conference on Learning Representations, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities
Proceedings of the 1st International Conference on Learning Representations, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Advances in Intelligent Data Analysis XII, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Gaussian-Bernoulli restricted Boltzmann machines and automatic feature extraction for noise robust missing data mask estimation.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012
Semi-supervised detection of collective anomalies with an application in high energy particle physics.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Hybrid Bilinear and Trilinear Models for Exploratory Analysis of Three-Way Poisson Counts.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the ECAI 2012, 2012
2011
IEEE Signal Process. Lett., 2011
Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines.
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
2010
Practical Approaches to Principal Component Analysis in the Presence of Missing Values.
J. Mach. Learn. Res., 2010
J. Mach. Learn. Res., 2010
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Variational Bayesian learning of nonlinear hidden state-space models for model predictive control.
Neurocomputing, 2009
A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians.
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2007
J. Mach. Learn. Res., 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
2005
Proceedings of the UAI '05, 2005
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework.
Proceedings of the UAI '05, 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
2003
Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003
2002
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002